https://github.com/kedhareswer/mlgenefunction
https://github.com/kedhareswer/mlgenefunction
css deep-neural-networks image-processing jupyter-notebook machine-learning python
Last synced: about 1 month ago
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- Host: GitHub
- URL: https://github.com/kedhareswer/mlgenefunction
- Owner: Kedhareswer
- Created: 2024-09-27T13:02:34.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-13T09:18:51.000Z (over 1 year ago)
- Last Synced: 2025-01-28T19:18:24.414Z (over 1 year ago)
- Topics: css, deep-neural-networks, image-processing, jupyter-notebook, machine-learning, python
- Language: Jupyter Notebook
- Homepage: https://kedhareswer.github.io/MLGeneFunction/
- Size: 4.73 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Image to Sketch Converter
[](LICENSE)
[](http://makeapullrequest.com)
## 📝 Table of Contents
- [Overview](#overview)
- [Features](#features)
- [Architecture](#architecture)
- [Tech Stack](#tech-stack)
- [Getting Started](#getting-started)
- [Project Structure](#project-structure)
- [Components](#components)
- [API Documentation](#api-documentation)
- [Performance Metrics](#performance-metrics)
- [Development](#development)
- [Contributing](#contributing)
- [License](#license)
## 🎯 Overview
Image to Sketch Converter is a modern web application that transforms regular images into artistic sketches. Built with Next.js and React, it provides a seamless user experience for image conversion with real-time processing and privacy-focused client-side operations.
### Key Benefits
- 🎨 Transform photos into artistic sketches instantly
- 🚀 Real-time processing with immediate feedback
- 🎯 Precise control over conversion parameters
- 📱 Cross-platform compatibility
- 🔒 Privacy-focused (all processing done client-side)
## ✨ Features
### Core Features
- 🖼️ **Image to Sketch Conversion**
- Multiple sketch styles
- Adjustable intensity levels
- Real-time preview
- Batch processing support
- 🔄 **Image Comparison**
- Side-by-side view
- Slider comparison
- Before/After toggle
- Zoom and pan capabilities
- 🎨 **Customization Options**
- Edge detection sensitivity
- Contrast adjustment
- Noise reduction
- Color preservation options
### User Experience
- 📱 **Responsive Design**
- Mobile-first approach
- Touch-friendly interface
- Adaptive layouts
- Cross-browser compatibility
- 🌓 **Theme Support**
- Dark/Light mode
- Custom theme options
- System preference detection
- Smooth transitions
- 🔍 **Advanced Tools**
- Area selection
- Selective conversion
- Multiple export formats
- Batch processing
## 🏗️ Architecture
### System Architecture
```mermaid
graph TD
A[Client Browser] --> B[Next.js App]
B --> C[React Components]
C --> D[Image Processing]
D --> E[Canvas API]
D --> F[Web Workers]
B --> G[State Management]
B --> H[API Routes]
H --> I[External Services]
```
### Data Flow
```mermaid
sequenceDiagram
participant User
participant UI
participant Processor
participant Canvas
participant Storage
User->>UI: Upload Image
UI->>Processor: Process Request
Processor->>Canvas: Apply Effects
Canvas->>UI: Update Preview
UI->>Storage: Save Result
Storage->>User: Download
```
## 🛠️ Tech Stack
### Frontend
- **Framework**: Next.js 15.2.4
- Server-side rendering
- Static site generation
- API routes
- Image optimization
- **Language**: TypeScript 5
- Type safety
- Enhanced IDE support
- Better maintainability
- **UI Library**: React 19
- Component-based architecture
- Virtual DOM
- Hooks system
### Styling & UI
- **CSS Framework**: Tailwind CSS 3.4.17
- Utility-first approach
- Custom configuration
- Responsive design
- **UI Components**: Radix UI
- Accessible components
- Unstyled design
- Custom theming
### Development Tools
- **Package Manager**: pnpm
- **Build Tool**: Next.js
- **Linting**: ESLint
- **Formatting**: Prettier
- **Testing**: Jest
## 🚀 Getting Started
### Prerequisites
- Node.js (Latest LTS version)
- pnpm (Package manager)
- Git
### Environment Setup
1. Clone the repository:
```bash
git clone https://github.com/Kedhareswer/MLGeneFunction.git
cd MLGeneFunction
```
2. Install dependencies:
```bash
pnpm install
```
3. Configure environment variables:
```bash
cp .env.example .env.local
```
4. Run the development server:
```bash
pnpm dev
```
5. Open [http://localhost:3000](http://localhost:3000) in your browser.
## 📁 Project Structure
```
├── app/ # Next.js app directory
│ ├── about/ # About page
│ ├── convert/ # Conversion page
│ ├── gallery/ # Gallery page
│ ├── layout.tsx # Root layout
│ └── page.tsx # Home page
├── components/ # React components
│ ├── ui/ # UI components
│ │ ├── button.tsx # Button component
│ │ ├── input.tsx # Input component
│ │ └── ...
│ ├── area-selector.tsx # Area selection component
│ ├── image-uploader.tsx# Image upload component
│ └── ...
├── public/ # Static assets
│ ├── images/ # Image assets
│ └── fonts/ # Font files
├── styles/ # Global styles
│ ├── globals.css # Global CSS
│ └── themes/ # Theme configurations
├── lib/ # Utility functions
│ ├── utils.ts # Helper functions
│ └── constants.ts # Constants
└── hooks/ # Custom React hooks
├── useImage.ts # Image processing hook
└── useTheme.ts # Theme management hook
```
## 🧩 Components
### Core Components
- **Area Selector** (`area-selector.tsx`)
- Interactive selection tool
- Multiple selection modes
- Real-time preview
- Coordinate tracking
- **Image Comparison** (`image-comparison.tsx`)
- Slider comparison
- Zoom functionality
- Touch support
- Performance optimized
- **Image Uploader** (`image-uploader.tsx`)
- Drag-and-drop support
- File validation
- Progress tracking
- Error handling
### UI Components
- **Progress Indicator**
- Animated progress bar
- Status messages
- Error states
- Success feedback
- **Theme Provider**
- Theme switching
- Persistence
- System preference
- Custom themes
## 📚 API Documentation
### Image Processing API
```typescript
interface ImageProcessor {
convertToSketch(image: File, options: SketchOptions): Promise;
adjustParameters(params: ProcessingParams): void;
getPreview(): Promise;
}
```
### Component Props
```typescript
interface ImageUploaderProps {
onUpload: (file: File) => void;
maxSize: number;
allowedTypes: string[];
multiple?: boolean;
}
```
## 📊 Performance Metrics
### Load Time Distribution
```mermaid
pie
title Page Load Time Distribution
"Initial Load" : 45
"Image Processing" : 30
"UI Rendering" : 15
"API Calls" : 10
```
### Resource Usage
```mermaid
graph LR
A[CPU Usage] --> B[Image Processing]
A --> C[UI Updates]
A --> D[Background Tasks]
```
## 💻 Development
### Available Scripts
```bash
# Run development server
pnpm dev
# Build for production
pnpm build
# Start production server
pnpm start
# Run linting
pnpm lint
# Run tests
pnpm test
# Generate documentation
pnpm docs
```
### Code Quality
- ESLint configuration
- Prettier formatting
- TypeScript strict mode
- Unit test coverage
## 🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
### Development Workflow
1. Fork the repository
2. Create your feature branch (`git checkout -b feature/AmazingFeature`)
3. Commit your changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request
### Code Style
- Follow TypeScript best practices
- Use functional components
- Implement proper error handling
- Add appropriate documentation
## 📄 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
---
Made with ❤️ by Kedhareswer
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